Xianliang Teng, Tao Zheng, Jing Cao, Yulong Jin, Qianlian Mo, Zhetong Ding, Ying Wang
{"title":"虚拟电厂中多柔性资源的动态聚合以满足不同频率控制需求","authors":"Xianliang Teng, Tao Zheng, Jing Cao, Yulong Jin, Qianlian Mo, Zhetong Ding, Ying Wang","doi":"10.1049/gtd2.70063","DOIUrl":null,"url":null,"abstract":"<p>To fulfill the frequency control requirements of the power system, virtual power plants (VPPs) need to aggregate and coordinate a large number of flexible resources. Traditional static aggregation methods, which fixed the composition and coordination strategy of flexible resources, face significant challenges with the diverse frequency control requirements. To address this issue, this paper proposes a dynamic aggregation of multiple flexible resources in VPPs to meet the evolving performance requirements of frequency control. First, a dynamic K-medoids clustering method is applied to reduce the dimension of large-scale resources, thereby reducing the complexity and difficulty of controlling a large number of resources. Then, considering that the intra-hour performance requirements of the frequency control as well as the resource pool of the VPPs are usually minor changing, this paper proposes a two-stage optimization model based on submodular optimization theory for dynamical aggregation, which enables rapid selection and allocation of flexible resources in VPPs. The effectiveness of the proposed method is validated on the IEEE 10-generator 39-bus system with 10,000 flexible resources. The results show that compared to existing techniques, the proposed method enhances the flexibility of large-scale resource aggregation and reduces the calculation time by almost 22 times while guaranteeing the aggregation performance.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70063","citationCount":"0","resultStr":"{\"title\":\"Dynamic Aggregation of Multiple Flexible Resources in Virtual Power Plants to Meet Diverse Frequency Control Requirements\",\"authors\":\"Xianliang Teng, Tao Zheng, Jing Cao, Yulong Jin, Qianlian Mo, Zhetong Ding, Ying Wang\",\"doi\":\"10.1049/gtd2.70063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>To fulfill the frequency control requirements of the power system, virtual power plants (VPPs) need to aggregate and coordinate a large number of flexible resources. Traditional static aggregation methods, which fixed the composition and coordination strategy of flexible resources, face significant challenges with the diverse frequency control requirements. To address this issue, this paper proposes a dynamic aggregation of multiple flexible resources in VPPs to meet the evolving performance requirements of frequency control. First, a dynamic K-medoids clustering method is applied to reduce the dimension of large-scale resources, thereby reducing the complexity and difficulty of controlling a large number of resources. Then, considering that the intra-hour performance requirements of the frequency control as well as the resource pool of the VPPs are usually minor changing, this paper proposes a two-stage optimization model based on submodular optimization theory for dynamical aggregation, which enables rapid selection and allocation of flexible resources in VPPs. The effectiveness of the proposed method is validated on the IEEE 10-generator 39-bus system with 10,000 flexible resources. The results show that compared to existing techniques, the proposed method enhances the flexibility of large-scale resource aggregation and reduces the calculation time by almost 22 times while guaranteeing the aggregation performance.</p>\",\"PeriodicalId\":13261,\"journal\":{\"name\":\"Iet Generation Transmission & Distribution\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70063\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iet Generation Transmission & Distribution\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/gtd2.70063\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Generation Transmission & Distribution","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/gtd2.70063","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Dynamic Aggregation of Multiple Flexible Resources in Virtual Power Plants to Meet Diverse Frequency Control Requirements
To fulfill the frequency control requirements of the power system, virtual power plants (VPPs) need to aggregate and coordinate a large number of flexible resources. Traditional static aggregation methods, which fixed the composition and coordination strategy of flexible resources, face significant challenges with the diverse frequency control requirements. To address this issue, this paper proposes a dynamic aggregation of multiple flexible resources in VPPs to meet the evolving performance requirements of frequency control. First, a dynamic K-medoids clustering method is applied to reduce the dimension of large-scale resources, thereby reducing the complexity and difficulty of controlling a large number of resources. Then, considering that the intra-hour performance requirements of the frequency control as well as the resource pool of the VPPs are usually minor changing, this paper proposes a two-stage optimization model based on submodular optimization theory for dynamical aggregation, which enables rapid selection and allocation of flexible resources in VPPs. The effectiveness of the proposed method is validated on the IEEE 10-generator 39-bus system with 10,000 flexible resources. The results show that compared to existing techniques, the proposed method enhances the flexibility of large-scale resource aggregation and reduces the calculation time by almost 22 times while guaranteeing the aggregation performance.
期刊介绍:
IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix.
The scope of IET Generation, Transmission & Distribution includes the following:
Design of transmission and distribution systems
Operation and control of power generation
Power system management, planning and economics
Power system operation, protection and control
Power system measurement and modelling
Computer applications and computational intelligence in power flexible AC or DC transmission systems
Special Issues. Current Call for papers:
Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf